#region License Information /* HeuristicLab * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Globalization; using System.IO; using System.IO.Compression; using System.Linq; using System.Reflection; using System.Text.RegularExpressions; using HeuristicLab.Problems.DataAnalysis; namespace HeuristicLab.Problems.Instances.DataAnalysis { public abstract class ResourceRegressionInstanceProvider : RegressionInstanceProvider { protected abstract string FileName { get; } public override IRegressionProblemData LoadData(IDataDescriptor id) { var descriptor = (ResourceRegressionDataDescriptor)id; var instanceArchiveName = GetResourceName(FileName + @"\.zip"); using (var instancesZipFile = new ZipArchive(GetType().Assembly.GetManifestResourceStream(instanceArchiveName), ZipArchiveMode.Read)) { var entry = instancesZipFile.GetEntry(descriptor.ResourceName); NumberFormatInfo numberFormat; DateTimeFormatInfo dateFormat; char separator; using (Stream stream = entry.Open()) { TableFileParser.DetermineFileFormat(stream, out numberFormat, out dateFormat, out separator); } TableFileParser csvFileParser = new TableFileParser(); using (Stream stream = entry.Open()) { csvFileParser.Parse(stream, numberFormat, dateFormat, separator, true); } Dataset dataset = new Dataset(csvFileParser.VariableNames, csvFileParser.Values); if (!descriptor.CheckVariableNames(csvFileParser.VariableNames)) { throw new ArgumentException("Parsed file contains variables which are not in the descriptor."); } return descriptor.GenerateRegressionData(dataset); } } protected virtual string GetResourceName(string fileName) { return Assembly.GetExecutingAssembly().GetManifestResourceNames() .Where(x => Regex.Match(x, @".*\.Data\." + fileName).Success).SingleOrDefault(); } } }